PRDX1 Interfering Peptide Disrupts Amino Acids 70-90 of PRDX1 to Inhibit the TLR4/NF-κB Signaling Pathway and Attenuate Neuroinflammation and Ischemic Brain Injury.

Ischemic stroke ranks among the leading causes of death and disability in humans and is accompanied by motor and cognitive impairment. However, the precise mechanisms underlying injury after stroke and effective treatment strategies require further investigation. Peroxiredoxin-1 (PRDX1) triggers an extensive inflammatory cascade that plays a pivotal role in the pathology of ischemic stroke, resulting in severe brain damage from activated microglia. In the present study, we used molecular dynamics simulation and nuclear magnetic resonance to detect the interaction between PRDX1 and a specific interfering peptide. We used behavioral, morphological, and molecular experimental methods to demonstrate the effect of PRDX1-peptide on cerebral ischemia-reperfusion (I/R) in mice and to investigate the related mechanism. We found that PRDX1-peptide bound specifically to PRDX1 and improved motor and cognitive functions in I/R mice. In addition, pretreatment with PRDX1-peptide reduced the infarct area and decreased the number of apoptotic cells in the penumbra. Furthermore, PRDX1-peptide inhibited microglial activation and downregulated proinflammatory cytokines including IL-1ß, IL-6, and TNF-α through inhibition of the TLR4/NF-κB signaling pathway, thereby attenuating ischemic brain injury. Our findings clarify the precise mechanism underlying PRDX1-induced inflammation after ischemic stroke and suggest that the PRDX1-peptide can significantly alleviate the postischemic inflammatory response by interfering with PRDX1 amino acids 70-90 and thereby inhibiting the TLR4/NF-κB signaling pathway. Our study provides a theoretical basis for a new therapeutic strategy to treat ischemic stroke.

Large-scale expanded sample imaging with tiling lattice lightsheet microscopy.

The ability to observe biological nanostructures forms a vital step in understanding their functions. Thanks to the invention of expansion microscopy (ExM) technology, super-resolution features of biological samples can now be easily visualized with conventional light microscopies. However, when the sample is physically expanded, the demand for deep and precise 3D imaging increases. Lattice lightsheet microscopy (LLSM), which utilizes a planar illumination that is confined within the imaging depth of high numerical aperture (NA=1.1) detection objective, fulfils such requirements. In addition, optical tiling could be implemented to increase the field of view (FoV) by moving the lightsheet without mechanically moving the samples or the objective for high-precision 3D imaging. In this review article, we will explain the principle of the tiling lattice lightsheet microscopy (tLLSM), which combines optical tiling and lattice lightsheet, and discuss the applications of tLLSM in ExM.

Improved Electrical Characteristics of AlGaN/GaN High-Electron-Mobility Transistor with Al2O3/ZrO2 Stacked Gate Dielectrics.

A metal-oxide-semiconductor high-electron-mobility transistor (MOS-HEMT) is proposed based on using a Al2O3/ZrO2 stacked layer on conventional AlGaN/GaN HEMT to suppress the gate leakage current, decrease flicker noise, increase high-frequency performance, improve power performance, and enhance the stability after thermal stress or time stress. The MOS-HEMT has a maximum drain current density of 847 mA/mm and peak transconductance of 181 mS/mm. The corresponding subthreshold swing and on/off ratio are 95 mV/dec and 3.3 × 107. The gate leakage current can be reduced by three orders of magnitude due to the Al2O3/ZrO2 stacked layer, which also contributes to the lower flicker noise. The temperature-dependent degradation of drain current density is 26%, which is smaller than the 47% of reference HEMT. The variation of subthreshold characteristics caused by thermal or time stress is smaller than that of the reference case, showing the proposed Al2O3/ZrO2 stacked gate dielectrics are reliable for device applications.

Identification of a potential diagnostic signature for postmenopausal osteoporosis via transcriptome analysis.

Purpose: We aimed to establish the transcriptome diagnostic signature of postmenopausal osteoporosis (PMOP) to identify diagnostic biomarkers and score patient risk to prevent and treat PMOP. Methods: Peripheral blood mononuclear cell (PBMC) expression data from PMOP patients were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened using the "limma" package. The "WGCNA" package was used for a weighted gene co-expression network analysis to identify the gene modules associated with bone mineral density (BMD). Least absolute shrinkage and selection operator (LASSO) regression was used to construct a diagnostic signature, and its predictive ability was verified in the discovery cohort. The diagnostic values of potential biomarkers were evaluated by receiver operating characteristic curve (ROC) and coefficient analysis. Network pharmacology was used to predict the candidate therapeutic molecules. PBMCs from 14 postmenopausal women with normal BMD and 14 with low BMD were collected, and RNA was extracted for RT-qPCR validation. Results: We screened 2420 differentially expressed genes (DEGs) from the pilot cohort, and WGCNA showed that the blue module was most closely related to BMD. Based on the genes in the blue module, we constructed a diagnostic signature with 15 genes, and its ability to predict the risk of osteoporosis was verified in the discovery cohort. RT-qPCR verified the expression of potential biomarkers and showed a strong correlation with BMD. The functional annotation results of the DEGs showed that the diagnostic signature might affect the occurrence and development of PMOP through multiple biological pathways. In addition, 5 candidate molecules related to diagnostic signatures were screened out. Conclusion: Our diagnostic signature can effectively predict the risk of PMOP, with potential application for clinical decisions and drug candidate selection.

In situ structure and dynamics of an alphacoronavirus spike protein by cryo-ET and cryo-EM.

Porcine epidemic diarrhea (PED) is a highly contagious swine disease caused by porcine epidemic diarrhea virus (PEDV). PED causes enteric disorders with an exceptionally high fatality in neonates, bringing substantial economic losses in the pork industry. The trimeric spike (S) glycoprotein of PEDV is responsible for virus-host recognition, membrane fusion, and is the main target for vaccine development and antigenic analysis. The atomic structures of the recombinant PEDV S proteins of two different strains have been reported, but they reveal distinct N-terminal domain 0 (D0) architectures that may correspond to different functional states. The existence of the D0 is a unique feature of alphacoronavirus. Here we combined cryo-electron tomography (cryo-ET) and cryo-electron microscopy (cryo-EM) to demonstrate in situ the asynchronous S protein D0 motions on intact viral particles of a highly virulent PEDV Pintung 52 strain. We further determined the cryo-EM structure of the recombinant S protein derived from a porcine cell line, which revealed additional domain motions likely associated with receptor binding. By integrating mass spectrometry and cryo-EM, we delineated the complex compositions and spatial distribution of the PEDV S protein N-glycans, and demonstrated the functional role of a key N-glycan in modulating the D0 conformation.

Derangements and Reversibility of Energy Metabolism in Failing Hearts Resulting from Volume Overload: Transcriptomics and Metabolomics Analyses.

Derangements in cardiac energy metabolism have been shown to contribute to the development of heart failure (HF). This study combined transcriptomics and metabolomics analyses to characterize the changes and reversibility of cardiac energetics in a rat model of cardiac volume overload (VO) with the creation and subsequent closure of aortocaval fistula. Male Sprague-Dawley rats subjected to an aortocaval fistula surgery for 8 and 16 weeks exhibited characteristics of compensated hypertrophy (CH) and HF, respectively, in echocardiographic and hemodynamic studies. Glycolysis was downregulated and directed to the hexosamine biosynthetic pathway (HBP) and O-linked-N-acetylglucosaminylation in the CH phase and was further suppressed during progression to HF. Derangements in fatty acid oxidation were not prominent until the development of HF, as indicated by the accumulation of acylcarnitines. The gene expression and intermediates of the tricarboxylic acid cycle were not significantly altered in this model. Correction of VO largely reversed the differential expression of genes involved in glycolysis, HBP, and fatty acid oxidation in CH but not in HF. Delayed correction of VO in HF resulted in incomplete recovery of defective glycolysis and fatty acid oxidation. These findings may provide insight into the development of innovative strategies to prevent or reverse metabolic derangements in VO-induced HF.

Cigarette Smoke Containing Acrolein Contributes to Cisplatin Resistance in Human Bladder Cancers through the Regulation of HER2 Pathway or FGFR3 Pathway.

Cisplatin-based chemotherapy is the first-line therapy for bladder cancer. However, cisplatin resistance has been associated with the recurrence of bladder cancer. Previous studies have shown that activation of FGFR and HER2 signaling are involved in bladder cancer cell proliferation and drug resistance. Smoking is the most common etiologic risk factor for bladder cancer, and there is emerging evidence that smoking is associated with cisplatin resistance. However, the underlying mechanism remains elusive. Acrolein, a highly reactive aldehyde, is abundant in tobacco smoke, cooking fumes, and automobile exhaust fumes. Our previous studies have shown that acrolein contributes to bladder carcinogenesis through the induction of DNA damage and inhibition of DNA repair. In this study, we found that acrolein induced cisplatin resistance and tumor progression in both non-muscle invasive bladder cancer (NMIBC) and muscle invasive bladder cancer (MIBC) cell lines RT4 and T24, respectively. Activation of HER2 and FGFR3 signaling contributes to acrolein-induced cisplatin resistance in RT4 and T24 cells, respectively. Furthermore, trastuzumab, an anti-HER2 antibody, and PD173074, an FGFR inhibitor, reversed cisplatin resistance in RT4 and T24 cells, respectively. Using a xenograft mouse model with acrolein-induced cisplatin-resistant T24 clones, we found that cisplatin combined with PD173074 significantly reduced tumor size compared with cisplatin alone. These results indicate that differential molecular alterations behind cisplatin resistance in NMIBC and MIBC significantly alter the effectiveness of targeted therapy combined with chemotherapy. This study provides valuable insights into therapeutic strategies for cisplatin-resistant bladder cancer.

Alterations of Sphingolipid and Phospholipid Pathways and Ornithine Level in the Plasma as Biomarkers of Parkinson's Disease.

The biomarkers of Parkinson's disease (PD) remain to be investigated. This work aimed to identify blood biomarkers for PD using targeted metabolomics analysis. We quantified the plasma levels of 255 metabolites in 92 PD patients and 60 healthy controls (HC). PD patients were sub-grouped into early (Hoehn-Yahr stage ≤ 2, n = 72) and advanced (Hoehn-Yahr stage > 2, n = 20) stages. Fifty-nine phospholipids, 3 fatty acids, 3 amino acids, and 7 biogenic amines, demonstrated significant alterations in PD patients. Six of them, dihydro sphingomyelin (SM) 24:0, 22:0, 20:0, phosphatidylethanolamine-plasmalogen (PEp) 38:6, and phosphatidylcholine 38:5 and 36:6, demonstrated lowest levels in PD patients in the advanced stage, followed by those in the early stage and HC. By contrast, the level of ornithine was highest in PD patients at the advanced stage, followed by those at the early stage and HC. These biomarker candidates demonstrated significant correlations with scores of motor disability, cognitive dysfunction, depression, and quality of daily life. The support vector machine algorithm using α-synuclein, dihydro SM 24:0, and PEp 38:6 demonstrated good ability to separate PD from HC (AUC: 0.820). This metabolomic analysis demonstrates new plasma biomarker candidates for PD and supports their role in participating PD pathogenesis and monitoring disease progression.

Clinical characteristics and survival outcomes in patients with a high PSA and non-metastatic prostate cancer.

BACKGROUND/PURPOSE: To investigate the clinical presentation and survival outcomes of patients with both a high prostate-specific antigen (PSA) value and non-metastatic prostate cancer (PC). METHODS: In total, 2053 PC patients were managed in our institute between January 2008 and December 2014. A total of 343 (16.7%) patients who presented with PSA values > 100 ng/mL were enrolled. Non-metastatic and metastatic PC were identified in 67 (group 1) and 276 (group 2) patients, respectively. Furthermore, 75 metastatic PC patients with PSA values < 20 ng/mL were included (group 3) for comparison. All demographics and survival outcomes were retrospectively reviewed by a questionnaire. RESULTS: Group 2 patients had a higher PSA level than did group 1 (median: 1095 vs. 283 ng/mL, p < 0.001), and a higher Gleason grade than did groups 1 and 3 (grade group 4 plus 5: 60%, 77%, and 56%, for groups 1, 2, and 3, respectively; p < 0.001). Other demographics were similar among groups. Group 1 patients survived significantly longer than group 2 and 3 in terms of overall and cancer-specific survival rates (5-year overall survival rates: 87.5%, 46.3%, and 66.9%; 5-year cancer-specific survival rates: 94.7%, 52.7%, and 68.7% for groups 1, 2, and 3, respectively). Group 1 patients receiving local definitive treatments, such as radiation therapy or cryoablation, received survival and metastasis-free benefits compared to those without local treatment. CONCLUSION: Patients with a high PSA value were not destined to have metastatic PC. Non-metastatic PC patients with a high PSA level obtained a survival benefit from local prostate-definitive treatments.

Gender differences in trends of bladder cancer mortality-to-incidence ratios according to health expenditure in 55 countries.

The association between bladder cancer mortality-to-incidence ratios (MIRs) and healthcare disparities has gender differences. However, no evidence supports gender as an issue in the association between changes in the MIR and health expenditures on bladder cancer. Changes in the MIR were defined as the difference in data from the years 2012 and 2018, which was named δMIR. Current health expenditures (CHE) and the human development index (HDI) were obtained from the World Health Organization and the Human Development Report Office. The association between variables was analyzed by Spearman's rank correlation coefficient. In total, 55 countries were analyzed according to data quality and the exclusion of missing data. Globally, the MIR changed according to the HDI level in both genders. Among the 55 countries studied, a high HDI and CHE were significantly associated with a favorable age-standardized rate-based MIR (ASR-based MIR) in both genders and the subgroups according to gender (for both genders, MIR vs. HDI: ρ = -0.720, p < 0.001; MIR vs. CHE per capita: ρ = -0.760, p < 0.001; MIR vs. CHE as a percentage of gross domestic product (CHE/GDP): ρ = -0.663, p < 0.001). Importantly, in females only, the CHE/GDP but neither the HDI score nor the CHE per capita was significantly associated with a favorable ASR-based δMIR (ASR-based δMIR vs. CHE/GDP: ρ = 0.414, p = 0.002). In the gender subgroups, the association between the HDI and the CHE was statistically significant for females and less significant for males. In conclusion, favorable bladder ASR-based MIRs were associated with a high CHE; however, improvement of the ASR-based δMIR data was more correlated with the CHE in females. Further investigation of the gender differences via a cohort survey with detailed information of clinical-pathological characteristics, treatment strategies, and outcomes might clarify these issues and improve therapeutic and/or screening strategies for bladder cancer.

Characteristic of Metabolic Status in Heart Failure and Its Impact in Outcome Perspective.

Metabolic alterations have been documented in peripheral tissues in heart failure (HF). Outcomes might be improved by early identification of risk. However, the prognostic information offered is still far from enough. We hypothesized that plasma metabolic profiling potentially provides risk stratification for HF patients. Of 61 patients hospitalized due to acute decompensated HF, 31 developed HF-related events in one year after discharge (Event group), and the other 30 patients did not (Non-event group). The plasma collected during hospital admission was analyzed by an ultra-high performance liquid chromatography time-of-flight mass spectrometry (UPLC-TOFMS)-based metabolomic approach. The orthogonal projection to latent structure discriminant analysis (OPLS-DA) reveals that the metabolomics profile is able to distinguish between events in HF. Levels of 19 metabolites including acylcarnitines, lysophospholipids, dimethylxanthine, dimethyluric acid, tryptophan, phenylacetylglutamine, and hypoxanthine are significantly different between patients with and without event (p < 0.05). Established risk prediction models of event patients by using receiver operating characteristics analysis reveal that the combination of tetradecenoylcarnitine, dimethylxanthine, phenylacetylglutamine, and hypoxanthine has better discrimination than B-type natriuretic peptide (BNP) (AUC 0.871 and 0.602, respectively). These findings suggest that metabolomics-derived metabolic profiling have the potential of identifying patients with high risk of HF-related events and provide insights related to HF outcome.

Basal Energy Expenditure of Chinese Healthy Adults: Comparison of Measured and Predicted Values.

OBJECTIVE: This study aimed to measure the basal energy expenditure (BEE) of Chinese healthy adults and establish an accurate predictive equation for this population. METHODS: In total, 470 Chinese healthy adults had their BEE measured using the Cosmed K4b 2 portable metabolic system. Multiple linear regression analysis was applied to develop new optimal equations for predicting BEE. The bias, accuracy rate, concordance correlation coefficient (CCC), and root mean square error (RMSE) were used to evaluate the accuracy of the predictive equations. RESULTS: There was a significant difference in BEE between males and females, with 5,954 kJ/d and 5,089 kJ/d, respectively. People living in rural areas expended significantly higher BEE (5,885 kJ/d) than those in urban areas (5,279 kJ/d). Previous equations developed by Henry, Schofield, Harris-Benedict (H-B), and Liu overestimated the BEE of Chinese healthy adults. The new equations derived from the present study displayed the smallest average bias and RMSE from the measured basal energy expenditure (mBEE). The CCC of the new equations was higher than other predictive equations, but it was lower than 0.8. There was no significant difference in the accuracy rate among all predictive equations. CONCLUSIONS: Sex and regional differences in BEE were observed in Chinese healthy adults. Neither the widely used previous predictive equations nor the one derived in the present study were accurate enough for estimating the BEE of Chinese healthy adults. Further study is required to develop more accurate equations for predicting the BEE of Chinese healthy adults aged between 20-45 years.

Acrolein contributes to urothelial carcinomas in patients with chronic kidney disease.

BACKGROUND: Urothelial carcinomas (UCs) are highly prevalent in patients with end-stage renal disease. Chronic kidney disease (CKD) is the predecessor of end-stage renal disease, and it is also associated with UC. However, the interplay between CKD and UC lacks solid evidence. Acrolein is produced by polyamines and has been suggested to be the uremic "toxin." The level of acrolein correlates well with chronic renal failure. We recently found that acrolein-induced DNA damage and inhibited DNA repair in urothelial cells, which contribute to bladder cancer. Therefore, we hypothesize that acrolein is involved in the formation of UC in patients with CKD. MATERIALS AND METHODS: A total of 62 UC patients and 43 healthy control subjects were recruited. Acrolein-DNA (Acr-dG) adducts and p53 gene mutations in UC tissues, plasma acrolein-protein conjugates (Acr-PC) and S-(3-hydroxypropyl)-N-acetylcysteine levels, and urinary Acr metabolites were analyzed in these patients. RESULTS: Acr-dG levels were statistically correlated with CKD stages in UC patients (P < 0.01). Most p53 mutations were G to A and G to T mutations in these patients, and 50% of mutations at G:C pairs occurred in CpG sites, which is similar to the mutational spectra induced by Acr-dG adducts. Acr-PC levels in the plasma of UC patients with CKD were significantly higher than those of control subjects (P < 0.001). Altered urinary S-(3-hydroxypropyl)-N-acetylcysteine was also found in UC patients with CKD compared to control subjects (P < 0.005). CONCLUSION: These results indicate that acrolein acts as an endogenous uremic toxin and contributes to UC formation in patients with CKD.

Metabolic signatures of muscle mass loss in an elderly Taiwanese population.

To identify the association between metabolites and muscle mass in 305 elderly Taiwanese subjects, we conducted a multivariate analysis of 153 plasma samples. Based on appendicular skeletal muscle mass index (ASMI) quartiles, female and male participants were divided into four groups. Quartile 4 (Men: 5.67±0.35, Women: 4.70±0.32 Kg/m2) and quartile 1 (Men: 7.60±0.29, Women: 6.56±0.53 Kg/m2) represented low muscle mass and control groups, respectively. After multivariable adjustment, except for physical function, we found that blood urea nitrogen, creatinine, and age were associated with ASMI in men. However, only triglyceride level was related to ASMI in women. The multiple logistic regression models were used to analyze in each baseline characteristic and metabolite concentration. After the adjustment, we identify amino acid-related metabolites and show that glutamate levels in women and alpha-aminoadipate, Dopa, and citrulline/ornithine levels in men are gender-specific metabolic signatures of muscle mass loss.

The new ophthalmic formulation for infection control by combining collagen/gelatin/alginate biomaterial with liposomal chloramphenicol.

Eye drops are a conventional method of drug delivery to the eye, accounting for 90% of currently accessible ophthalmic formulations. The major problem with eye drop treatments is rapid pre-corneal drug loss. Furthermore, the need for frequent administration of eye drops can profoundly affect the quality of life of ophthalmological patients. In the current study, we developed a liposomal nanoparticle encapsulated with chloramphenicol mixed with biodegradable materials against ophthalmological disease. We first established a protocol for chloramphenicol (CAP) loaded into liposomal nanoparticle (LipoCAP). We also established the collagen/gelatin/sodium alginate (CGA) as the component of biodegradable polymers and calibrated the novel drug-releasing formulation. Finally, we combined LipoCAP with CGA to generate an 8-h degradable ophthalmic chloramphenicol gel, CGA-LipoCAP-8. CGA-LipoCAP-8 reached the effective working concentration in 75 min and prolonged the drug-releasing time for at least 12 h. In addition, CGA-LipoCAP-8 could stably and continuously inhibit E. coli proliferation. The inhibiting phenomenon was more pronounced over time. Furthermore, there were no significant toxicities observed when CGA-LipoCAP-8 co-cultured with ocular epithelial cells. In conclusion, CGA-LipoCAP-8 achieved effective CAP dose concentrations in a short time and sustained CAP release for a prolonged period. Our results provide an innovative concept in relation to novel drug-release formulations, with safety and efficiency supporting use in future treatments for ophthalmological diseases.

Correlations between Mortality-to-Incidence Ratios and Health Care Disparities in Testicular Cancer.

The mortality-to-incidence ratio (MIR) is associated with the clinical outcomes of different types of cancer as well as the ranking of health care systems. However, the association between MIRs for testicular cancer and health care disparities, including differences in expenditures and health system rankings, has not yet been reported. We used the Spearman's rank correlation coefficient (CC) to analyze the correlation between testicular cancer MIRs and both total expenditures on health/gross domestic product (e/GDP) and the World Health Organization's (WHO) health system rankings. After screening the data for quality and missing information, 57 countries were chosen for analysis. Generally, developed countries and regions had relatively high rates of incidence/mortality, but with a favorable MIR. Among the continents, Europe had the highest incidence rates, whereas the highest MIRs were in Africa. Globally, favorable testicular cancer MIRs were observed in countries with both a high e/GDP and a good WHO ranking (R2 = 0.325, p < 0.001 and CC = -0.568, p < 0.001; R2 = 0.367, p < 0.001 and CC = 0.655, p < 0.001, respectively). In conclusion, the MIR for testicular cancer varies in countries and regions based on both their total health expenditure and their health care system ranking.

Sedoheptulose-1,7-bisphospate Accumulation and Metabolic Anomalies in Hepatoma Cells Exposed to Oxidative Stress.

We have previously shown that GSH depletion alters global metabolism of cells. In the present study, we applied a metabolomic approach for studying the early changes in metabolism in hydrogen peroxide- (H2O2-) treated hepatoma cells which were destined to die. Levels of fructose 1,6-bisphosphate and an unusual metabolite, sedoheptulose 1,7-bisphosphate (S-1,7-BP), were elevated in hepatoma Hep G2 cells. Deficiency in G6PD activity significantly reduced S-1,7-BP formation, suggesting that S-1,7-BP is formed in the pentose phosphate pathway as a response to oxidative stress. Additionally, H2O2 treatment significantly increased the level of nicotinamide adenine dinucleotide phosphate (NADP+) and reduced the levels of ATP and NAD+. Severe depletion of ATP and NAD+ in H2O2-treated Hep G2 cells was associated with cell death. Inhibition of PARP-mediated NAD+ depletion partially protected cells from death. Comparison of metabolite profiles of G6PD-deficient cells and their normal counterparts revealed that changes in GSH and GSSG per se do not cause cell death. These findings suggest that the failure of hepatoma cells to maintain energy metabolism in the midst of oxidative stress may cause cell death.

Metabolic Signature Differentiated Diabetes Mellitus from Lipid Disorder in Elderly Taiwanese.

Aging is a complex progression of biological processes and is the causal contributor to the development of diabetes mellitus (DM). DM is the most common degenerative disease and is the fifth leading cause of death in Taiwan, where the trend of DM mortality has been steadily increasing. Metabolomics, important branch of systems biology, has been mainly utilized to understand endogenous metabolites in biological systems and their dynamic changes as they relate to endogenous and exogenous factors. The purpose of this study was to elucidate the metabolomic profiles in elderly people and its relation to lipid disorder (LD). We collected 486 elderly individuals aged ≥65 years and performed untargeted and targeted metabolite analysis using nuclear magnetic resonance (NMR) spectroscopy and liquid chromatography-mass spectrometry (LC/MS). Several metabolites, including branched-chain amino acids, alanine, glutamate and alpha-aminoadipic acid were elevated in LD compared to the control group. Based on multivariate analysis, four metabolites were selected in the best model to predict DM progression: phosphatidylcholine acyl-alkyl (PC ae) C34:3, PC ae C44:3, SM C24:1 and PCae C36:3. The combined area under the curve (AUC) of those metabolites (0.82) was better for DM classification than individual values. This study found that targeted metabolic signatures not only distinguish the LD within the control group but also differentiated DM from LD in elderly Taiwanese. These metabolites could indicate the nutritional status and act as potential metabolic biomarkers for the elderly in Taiwan.

Unfavorable Mortality-To-Incidence Ratio of Lung Cancer Is Associated with Health Care Disparity.

The mortality-to-incidence ratio (MIR) is associated with the clinical outcome of cancer treatment. For several cancers, countries with relatively good health care systems have favorable MIRs. However, the association between lung cancer MIR and health care expenditures or rankings has not been evaluated. We used linear regression to analyze the correlation between lung cancer MIRs and the total expenditures on health/gross domestic product (e/GDP) and the World Health Organization (WHO) rankings. We included 57 countries, for which data of adequate quality were available, and we found high rates of incidence and mortality but low MIRs in more developed regions. Among the continents, North America had the highest rates of incidence and mortality, whereas the highest MIRs were in Africa, Asia, Latin America, and the Caribbean. Globally, favorable MIRs correlated with high e/GDP and good WHO ranking (regression coefficient, -0.014 and 0.001; p = 0.004, and p = 0.014, respectively). In conclusion, the MIR for lung cancer in different countries varies with the expenditure on health care and health system rankings.

Stable Isotope-Labeled Lipidomics to Unravel the Heterogeneous Development Lipotoxicity.

Non-alcoholic fatty liver disease (NAFLD) as a global health problem has clinical manifestations ranging from simple non-alcoholic fatty liver (NAFL) to non-alcoholic steatohepatitis (NASH), cirrhosis, and cancer. The role of different types of fatty acids in driving the early progression of NAFL to NASH is not understood. Lipid overload causing lipotoxicity and inflammation has been considered as an essential pathogenic factor. To correlate the lipid profiles with cellular lipotoxicity, we utilized palmitic acid (C16:0)- and especially unprecedented palmitoleic acid (C16:1)-induced lipid overload HepG2 cell models coupled with lipidomic technology involving labeling with stable isotopes. C16:0 induced inflammation and cell death, whereas C16:1 induced significant lipid droplet accumulation. Moreover, inhibition of de novo sphingolipid synthesis by myriocin (Myr) aggravated C16:0 induced lipoapoptosis. Lipid profiles are different in C16:0 and C16:1-treated cells. Stable isotope-labeled lipidomics elucidates the roles of specific fatty acids that affect lipid metabolism and cause lipotoxicity or lipid droplet formation. It indicates that not only saturation or monounsaturation of fatty acids plays a role in hepatic lipotoxicity but also Myr inhibition exasperates lipoapoptosis through ceramide in-direct pathway. Using the techniques presented in this study, we can potentially investigate the mechanism of lipid metabolism and the heterogeneous development of NAFLD.